EFFECT OF APPLICATION CHARACTERISTICS ON PERFORMANCE IN A PARALLEL ARCHITECTURE.

Adolfo Guzman, Edward J. Krall, Patrick F. McGehearty, Nader Bagherzadeh

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

A shared-memory, hierarchical, clustered architecture is reported. Measurements presented (including speedups) were obtained by running six different symbolic application kernels with varying architectural parameters. The results and graphs shown highlight the manner in which application characteristics place limits on achievable parallel performance, given particular architectural features. The discussion covers processor starvation, fine-grain parallelism, uneven loads, foreign reference, cost scheduling, and indeterminate computation with respect to the applications chosen. These measurements provide understanding of some of the interactions that take place between the architectural parameters and the specific applications and suggest ways to improve the architecture. To date the architecture has shown reasonable speedups on the chosen applications.

Idioma originalInglés
Título de la publicación alojadaProceedings of the Hawaii International Conference on System Science
EditorialIEEE
Páginas167-173
Número de páginas7
ISBN (versión impresa)0818608412, 9780818608414
DOI
EstadoPublicada - 1988
Publicado de forma externa

Serie de la publicación

NombreProceedings of the Hawaii International Conference on System Science
ISSN (versión impresa)0073-1129

Huella

Profundice en los temas de investigación de 'EFFECT OF APPLICATION CHARACTERISTICS ON PERFORMANCE IN A PARALLEL ARCHITECTURE.'. En conjunto forman una huella única.

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